Data Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, implement, and scale efficient, automated data pipelines and architectures throughout the enterprise data ecosystem.

• Create clean, high-performing, and dependable dimensional models and production data assets utilizing Snowflake and dbt.

• Establish automated data quality frameworks, monitoring, and governance protocols.

• Ensure that data assets are secure, resilient, and high-performing.

• Manage Git-based version control, CI/CD deployment pipelines, and contemporary orchestration tools.

• Investigate and incorporate AI/ML capabilities into data management workflows.

• Automate operations and enable new product functionalities.

⛳️ Requirements

• A minimum of 3 years of practical data engineering experience.

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.

• Proficient in SQL.

• Strong programming skills in Python.

• Demonstrated experience in data modeling using Snowflake and dbt.

• A solid understanding of modern orchestration tools.

• Familiarity with CI/CD pipelines.

• Experience with Git workflows.

• Proficiency in automated testing/data quality frameworks.

• Practical experience with cloud infrastructure such as AWS, GCP, or Azure is a plus.

• Experience in integrating AI tools and workflows into data pipelines is advantageous.

🏝️ Benefits

• Supportive team atmosphere.

• Opportunities for personal growth and challenges in their roles.

• Dedicated recruiter and consultant care support focused on success and well-being.